| 2026 | AAAI | Hyperbolic Continuous Structural Entropy for Hierarchical Clustering. | Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu |
| 2026 | ESA | Dichotomies for #CSP on Graphs That Forbid a Clique as a Minor. | Boning Meng, Yicheng Pan |
| 2025 | ICML | Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability. | Yicheng Pan, Renjie Chen, Pengyu Long, Bingchen Fan |
| 2025 | IJCAI | A Survey of Structural Entropy: Theory, Methods, and Applications. | Dingli Su, Hao Peng, Yicheng Pan, Angsheng Li |
| 2025 | ISAAC | Matchgate Signatures Under Variable Permutations. | Boning Meng, Yicheng Pan |
| 2025 | UAI | An Information-theoretic Perspective of Hierarchical Clustering on Graphs. | Yicheng Pan, Bingchen Fan, Pengyu Long, Feng Zheng |
| 2025 | SDM | Emergence of Cooperation in Multi-Agent Reinforcement Learning via Coalition Labeling and Structural Entropy. | Dingli Su, Hao Peng, Guangjie Zeng, Pu Li, Angsheng Li, Yicheng Pan |
| 2024 | ICWS | G-Cause: Parameter-free Global Diagnosis for Hyperscale Web Service Infrastructures. | Xinrui Jiang, Yang Zhang, Tingzhu Bi, Xiangzhuang Shen, Yu Zhang, Yicheng Pan, Meng Ma, Linlin Han, Feng Wang, Xian Liu, Ping Wang |
| 2024 | KDD | FaultInsight: Interpreting Hyperscale Data Center Host Faults. | Tingzhu Bi, Yang Zhang, Yicheng Pan, Yu Zhang, Meng Ma, Xinrui Jiang, Linlin Han, Feng Wang, Xian Liu, Ping Wang |
| 2024 | NAACL | HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification. | He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, Yicheng Pan, Ke Xu |
| 2024 | SIGMETRICS | HEAL: Performance Troubleshooting Deep inside Data Center Hosts. | Yicheng Pan, Yang Zhang, Tingzhu Bi, Linlin Han, Yu Zhang, Meng Ma, Xiangzhuang Shen, Xinrui Jiang, Feng Wang, Xian Liu, Ping Wang |
| 2023 | WWW | Look Deep into the Microservice System Anomaly through Very Sparse Logs. | Xinrui Jiang, Yicheng Pan, Meng Ma, Ping Wang |
| 2022 | IJCAI | A Simple yet Effective Method for Graph Classification. | Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu |
| 2022 | IJCNN | When Dynamic Causality Comes to Graph-Temporal Neural Network. | Haowei Wang, Yicheng Pan, Meng Ma, Ping Wang |
| 2022 | ISSRE | VECROsim: A Versatile Metric-oriented Microservice Fault Simulation System (Tools and Artifact Track). | Tingzhu Bi, Yicheng Pan, Xinrui Jiang, Meng Ma, Ping Wang |
| 2021 | ISSTA | Faster, deeper, easier: crowdsourcing diagnosis of microservice kernel failure from user space. | Yicheng Pan, Meng Ma, Xinrui Jiang, Ping Wang |
| 2012 | TAMC | Principles of Network Computing. | Yicheng Pan |
| 2011 | COCOON | Characterizations of Locally Testable Linear- and Affine-Invariant Families. | Angsheng Li, Yicheng Pan |
| 2008 | TAMC | Definable Filters in the Structure of Bounded Turing Reductions. | Angsheng Li, Weilin Li, Yicheng Pan, Linqing Tang |